Generalization of the Kolmogorov-Smirnov test

Computational Statistics and Data Analysis

Volumn 24, Issue 4, 1997, Pages 433-441

  Reschenhofer, Erhard ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Goodness of fit tests; Length tests; Tests for white noise

Indexed keywords

MONTE CARLO METHODS; PROBABILITY; STATISTICS; WHITE NOISE;

GOODNESS OF FIT TESTS; KOLMOGOROV-SMIRNOV TEST; LENGTH TESTS;

STATISTICAL TESTS;

GOODNESS OF FIT; KOLMOGOROV-SMIRNOV TEST;

EID: 0031554298     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(96)00077-1     Document Type: Article

References (11)

1. Bartlett, M.S., Problèmes de l'analyse spectrale des séries temporelles stationnaires, Publ. Inst. Stat., Univ. Paris, III-3 (1954) 119-134.
2. Bartlett, M.S., An introduction to stochastic processes with special reference to methods and applications (Cambridge University Press, London, 1955).
3. Dittrich, R., E. Reschenhofer and I.M. Bomze, Behavior of the length test for medium sample sizes, Comm. Statist. Theory Methods, 22 (1993) 2517-2525.
4. Guttorp, P. and R.A. Lockhart, On the asymptotic distributions of high-order spacings statistics, Canad. J. Statist., 17 (1989) 419-426.
5. Hall, P., On powerful distributional tests based on sample spacings, J. Multivariate Analy., 19 (1986) 201-224.
6. Rayner, J.C.W. and D.J. Best, Smooth tests of goodness of fit (Oxford University Press, New York, 1989).
7. Reschenhofer, E., Adaptive test for white noise, Biometrika, 76 (1989) 629-632.
8. Reschenhofer, E. and I.M. Bomze, Length tests for goodness of fit, Biometrika, 78, 207-216 (Amendment: Biometrika, 79 (1992) 859).
9. Reschenhofer, E. and I.M. Bomze, Length tests for goodness of fit, Biometrika, 78, 207-216 (Amendment: Biometrika, 79 (1992) 859).
10. Reschenhofer, E. and I.M. Bomze, Testing for white noise against multimodal spectral alternatives, J. Time Ser. Analy., 13 (1992) 435-439.
11. Schlittgen, R., Tests for white noise in the frequency domain, Computat. Statist. Quart., 4 (1989) 281-288.